Data Exploration
Data Exploration is the initial step in the data analysis process, where the main objective is to understand the data and its characteristics. It involves the use of various statistical and visualization techniques to identify patterns, trends, and relationships in the data. Data Exploration helps in identifying missing values, outliers, and anomalies in the data, which can be further processed to improve the quality of the data. It also helps in selecting the appropriate data preprocessing techniques and machine learning algorithms for the given problem. Data Exploration is an iterative process, where the insights gained from the initial analysis are used to refine the analysis further.
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